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To get optimal results, you must properly configure gmapping for the sensors you are using. Getting a nan sample from a lidar is normal and means "no light bounced back." gmapping will interpret this value as "no obstacles out to maximum range".
If you move the robot to a new pose, it may then see an object that was previously not visible.
| | 2 | No.2 Revision |
To get optimal results, you must properly configure gmapping for the sensors you are using. Getting a nan sample from a lidar is normal and means "no light bounced back." gmapping will interpret this value as "no obstacles out to maximum range".range" for that ray.
If you move the robot to a new pose, it may then see an object that was previously not visible.
| | 3 | No.3 Revision |
All lidars have a minimum range. Objects closer than this distance usually return either 0 or NotANumber (nan).
To get optimal results, you must properly configure gmapping for the sensors you are using. Getting a nan sample from a lidar is normal and means "no light bounced back." gmapping will interpret this value as "no obstacles out to maximum range" for that ray.
If you move the robot to a new pose, it may then see an object that was previously not visible.
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